11.11.2025
3 min
758
In the second part of the series “Tools for Effective DevOps Training,” we continue our introduction to the best platforms that help develop practical DevOps skills in real-world environments. The selection is designed for beginners and experienced professionals who seek to deepen their understanding of the DevOps culture and improve their approach to process automation in teamwork.
The lab helps you master the einsum function in NumPy, a tool for efficient calculations with arrays and creating complex expressions.
Hands-on exercises with NumPy to reinforce knowledge of arrays and mathematical operations. The game format makes learning about computation fun and visual.
Linux File Management Lab: Learn how to delete, move, and organize directory structures using basic commands.
Tasks on using NumPy to analyze lists of numbers: calculating the mean, median, variance, and other statistical measures.
In this exercise, you will learn how to convert variables between different data types in Python, understanding the specifics of each type and their compatibility.
Practice using mathematical operators and shorthand assignment in Python to simplify your code and increase its efficiency.
Introduction to IPython’s interactive features: command history, autocompletion, media output, and flexible real-time data exploration.
Learn to control the flow of code execution using if, elif, and else conditions, creating flexible scenarios for program behavior.
A basic lab on creating and calling functions in Python. Learn how to organize code to increase reusability and readability.
Master Python’s basic data structures—lists, tuples, sets, and dictionaries—to work effectively with different information formats.
Learn how to properly comment code in Python, creating a clear project structure and simplifying interaction between developers.
Learn the basics of object-oriented programming in Python by creating classes, instantiating objects, and applying the principles of encapsulation.
Develop logical thinking by completing interactive exercises with Python conditional statements. Practice will help you better understand the principles of choosing actions.
First lab for beginners: Create a simple program that greets the user and learn how input, output, and variables work in Python.
Practice managing user accounts in Linux: creating, editing, deleting, and setting access rights.
